Instructions to use OpenNLG/OpenBA-V2-Chat with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use OpenNLG/OpenBA-V2-Chat with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="OpenNLG/OpenBA-V2-Chat", trust_remote_code=True)# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("OpenNLG/OpenBA-V2-Chat", trust_remote_code=True, dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c10c77ef9376cdcf2cb90ec4161fe60c313b0401c58ba62f0dae7d0960c44a0c
- Size of remote file:
- 7.62 GB
- SHA256:
- a09bc5db14ee66a65af03b6e548c0db8ccd9b93544e08c90553d2ac957116c0a
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